Segmentation Quality for Augmented Reality: An Objective Metric
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Data
2015-01-01
Autores
Salioni, Danilo V. [UNESP]
Sanches, Silvio R. R.
Silva, Valdinei F.
De Gaspari, Tiago
Sementille, Antonio C. [UNESP]
IEEE
Título da Revista
ISSN da Revista
Título de Volume
Editor
Ieee
Resumo
Assessment the quality of segmentation algorithms considering the user perception is an important problem in Computer Vision. For this purpose a metric must take into account the impact of different types of errors displayed to the users. In this work we developed a new objective metric to assess the quality obtained by bilayer segmentation algorithms when they are used in Augmented Reality applications. Our metric proved to be efficient for selecting the best algorithm and to adjust its parameters.
Descrição
Palavras-chave
Segmentation Assessment, Segmentation Quality, Augmented Reality
Como citar
2015 Xvii Symposium On Virtual And Augmented Reality. New York: Ieee, p. 212-219, 2015.